1 files changed, 1 insertions, 1 deletions
diff --git a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
index c74501a..088b431 100644
--- a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
+++ b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
@@ -74,7 +74,7 @@ plt.show()
 2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights.
 3. **Next step would be to** periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it.
-![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png)
+![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png.dith.gif)
 Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment.

diff --git a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md index c74501a..088b431 100644 --- a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md +++ b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
@@ -74,7 +74,7 @@ plt.show()
74	2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights.	74	2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights.
75	3. Next step would be to periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it.	75	3. Next step would be to periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it.
76		76
77	![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png)	77	![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png.dith.gif)
78		78
79	Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment.	79	Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment.
80		80